Making an Interoperability Approach between ERP and Big Data Context

2018 ◽  
Author(s):  
Bibi Zarine Cadersaib ◽  
Hatem Ben Sta ◽  
Baby Ashwin Gobin Rahimbux
Keyword(s):  
Big Data ◽  
Data Context

Applying a Business Intelligence System in a Big Data Context: Production Companies

2020 ◽  
pp. 268-274
Author(s):  
Jesús Silva ◽  
Mercedes Gaitán ◽  
Noel Varela ◽  
Doyreg Maldonado Pérez ◽  
Omar Bonerge Pineda Lezama
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
Intelligence System ◽  
Data Context

scholarly journals Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Yao Huang ◽  
Qian Shi ◽  
Jian Zuo ◽  
Feniosky Pena-Mora ◽  
Jindao Chen
Keyword(s):  
Big Data ◽  
Project Management ◽  
Information Technologies ◽  
Construction Project ◽  
Data Driven ◽  
Theoretical Research ◽  
Construction Project Management ◽  
American Society ◽  
It Application ◽  
Data Context

The construction industry is facing a data tsunami, while emerging information technologies (IT) show great potential for the effective processing of these data or information. However, a comprehensive review for technological change, the resulting process, and organizational changes in the Big Data context, especially from the angle of whole lifecycle of construction project, is lacking. To fill the void, related works published in the databases of Web of Science, Science Direct, and American Society of Civil Engineers library are systematically reviewed. The general trend in emerging IT application in terms of construction project management (CPM) phases, technology and application, and research topics are revealed. Following this analysis, the particularized proposals in relation to each of the main topics within CPM is discussed. Furthermore, according to the advances and limitations of the current literature, corresponding future agendas such as the implementation of comprehensive data-driven CPM scenario are proposed to bridge the gaps between theoretical research and practical demands.

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